Shaoli Chu

414 citations
20 papers · 318 · h-index 12

Impact in

Papers in

Shaoli Chu

19 papers receiving 312 citations

Peers

Shaoli Chu
Comparison fields: 5 of 51
  • Cardiology and Cardiovascular Medicine 118
  • Endocrinology, Diabetes and Metabolism 65
  • Clinical Biochemistry 12
  • Nephrology 12
  • Aging 3
Replace José María Pou with:
José María Pou Spain
Dorota Taraszkiewicz France
Marianne Yngen Sweden
Pio Cialdella Italy
Kwan-Lih Hsu Taiwan
Wen-Ter Lai Taiwan
Xiaodong Jing China
R Casamitjana Spain
Małgorzata Waluś‐Miarka Poland
Kenji Miwa Japan
Shaoli Chu relative to José María Pou Spain José María Pou's profile →
Citations per field
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José María Pou · 1×
Citations per year

Countries citing papers authored by Shaoli Chu

Since Specialization
Citations

This map shows the geographic impact of Shaoli Chu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shaoli Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoli Chu more than expected).

Fields of papers citing papers by Shaoli Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaoli Chu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shaoli Chu. The network helps show where Shaoli Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Shaoli Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaoli Chu Line = papers co-authored together Shaoli Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201344
2 201033
3 201331
4 201629
5 201328
6 201324
7 201222
8 201217
9 201314
10 201214
11 201213
12 201012
13 201111
14 20088
15 20238
16
Linkage analysis of a region on chromosome 2 with essential hypertension in Chinese families.
20024
17 20174
18 20091
19 20141
20
The Agreement Between Noninvasive and Invasive Central Blood Pressure Measurements
20090

About Shaoli Chu

Shaoli Chu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Toxicology, Surgery and Clinical Biochemistry, having authored 20 papers that have together received 318 indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (7 papers), Hormonal Regulation and Hypertension (3 papers), Renin-Angiotensin System Studies (2 papers), TGF-β signaling in diseases (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Blood Pressure and Hypertension Studies (2 papers), Genetic Associations and Epidemiology (2 papers) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (118 citations), Endocrinology, Diabetes and Metabolism (65 citations), Clinical Biochemistry (12 citations), Nephrology (12 citations) and Aging (3 citations). Shaoli Chu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Wenquan Niu, Xiaobo Li, Yuqiong Li, Pingjin Gao, Dingliang Zhu, Shujie Guo, Nan Jia, Nan Jia, Feng Peng and Jinxiu Lin. Their work appears in journals such as PLoS ONE, Molecular Biology Reports, Gene, International Journal of Environmental Research and Public Health and Circulation Heart Failure.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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